Chris Volinsky's Publications
  1. Clustering Anonymized Mobile Call Detail Records to Find Usage Groups
    R. Becker, R. Cáceres, K. Hanson, J. M. Loh, S. Urbanek, A. Varshavsky, and C. Volinsky
    1st Workshop on Pervasive Urban Applications (PURBA)        (2011Download 
  2. A Tale of One City: Using Cellular Network Data for Urban Planning
    R. Becker, R. Cáceres, K. Hanson, J. M. Loh, S. Urbanek, A. Varshavsky, and C. Volinsky
    IEEE Pervasive Computing    10    (2011Download 
  3. Route Classification Using Cellular Handoff Patterns
    R. Becker, R. Cáceres, K. Hanson, J. M. Loh, S. Urbanek, A. Varshavsky, and C. Volinsky
    13th International Conference on Ubiquitous Computing (Ubicomp)        (2011Download 
  4. Can we Talk? The Impact of Willingness to Recommend on New-to-Market Service Brand Extension Within a Social Network
    Lerzan Aksoy, Alexander Buoye, Bruce Cooil, Timothy L. Keniningham, DeDe Paul, and Chris Volinsky
    Journal of Service Research    14  355-371  (2011Download 
  5. Fraud Detection at {AT\&T}: A Historical Perspective
    Richard A. Becker, Chris Volinsky, and Allan R. Wilks
    Technometrics    52  20-33  (2010Download 
  6. All Together Now: A Perspective on the {N}ETFLIX {P}RIZE
    Robert M. Bell, Yehuda Koren, and Chris Volinsky
    Chance    23  24-29  (2010Download 
  7. Matrix Factorization Techniques for Recommender Systems
    Robert Bell, Yehuda Koren, and Chris Volinsky
    IEEE Computer      42--49  (2009Download 
  8. Putting Recommendations on the Map -- Visualizing Clusters and Relations
    Emden Gansner, Yifan Hu, Stephen Kobourov, and Chris Volinsky
    Proceedings of the 3rd ACM Conference on Recommender Systems      345-348  (2009Download 
  9. The Million Dollar Programming Prize
    Robert Bell, Jim Bennett, Yehuda Koren, and Chris Volinsky
    IEEE Spectrum    2009  28--33  (2009Download 
  10. Collaborative Filtering for Implicit Feedback Datasets
    Yifan Hu, Yehuda Koren, and Chris Volinsky
      IEEE International Conference on Data Mining (ICDM)      (2008Download 
  11. Measuring and extracting proximity graphs in networks
    Yehuda Koren, Stephen C. North, and Chris Volinsky
    ACM Transactions on Knowledge Discovery from Data    1  12  (2007Download 
  12. Chasing \$1,000,000: How We Won The {N}etflix {P}rogress {P}rize
    Robert M. Bell, Yehuda Koren, and Chris Volinsky
    Statistical Computing and Statistical Graphics Newsletter    18  4-12  (2007Download 
  13. Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems
    Robert M. Bell, Yehuda Koren, and Chris Volinsky
      KDD '07: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining    95--104  (2007Download 
  14. Modifying Boosted Trees to Improve Performance on {T}ask 1 of the 2006 {KDD} {C}hallenge {C}up
    Robert M. Bell, Patrick G. Haffner, and Chris Volinsky
    SIGKDD Explorations    8  47-52  (2006Download 
  15. Measuring and Extracting Proximity in Networks
    Yehuda Koren, Stephen C. North, and Chris Volinsky
      KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining    245--255  (2006Download 
  16. Building an Effective Representation for Dynamic Networks
    Shawndra Hill, Deepak Agarwal, Robert Bell, and Chris Volinsky
    Journal of Computational and Graphical Statistics    15  584--608  (2006Download 
  17. Network-based Marketing: Identifying likely adopters via consumer networks
    Shawndra Hill, Foster Provost, and Chris Volinsky
    Statistical Science    21  256--276  (2006Download 
  18. The Gift of Gab: Evidence TelE-Commerce Firms Can Profit from Viral Marketing
    Shawndra Hill, Foster Provost, and Chris Volinsky
      Statistical Challenges in ECommerce: The First Interdisciplinary Symposium Between Information Systems, Statistics, and Related Fields      (2005Download 
  19. {BMA}: An {R} Package for {B}ayesian {M}odel {A}veraging
    Adrian E. Raftery, Ian Painter, and Chris Volinsky
    {R} News    5  2-8  (2005Download 
  20. Mining Customer Care Dialogs for "Daily News"
    Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert Bell, Mazin Rahim, Deborah Swayne, and Chris Volinsky
    IEEE Transactions on Speech and Audio Processing (Special Data Mining Issue)    13  652-660  (2005Download 
  21. The use of {B}ayesian model averaging to better represent uncertainty in the predictions of ecological models.
    Brendan Wintle, M.A. McCarthy, Chris Volinsky, and R. P. Kavanagh
    Conservation Biology    17  1579-1590  (2003Download 
  22. Computational Methods for Dynamic Graphs
    Corinna Cortes, Daryl Pregibon, and Chris Volinsky
    Journal of Computational and Graphical Statistics    12  950-970  (2003Download 
  23. Parallel Coordinates for Exploratory Modelling Analysis
    Antony Unwin, Chris Volinsky, and Sylvia Winkler
    Computational Statistics and Data Analysis    28  553-564  (2002Download 
  24. Assessment of Response Bias in Mild Head Injury: Beyond Malingering Tests
    Scott R. Millis and Chris Volinsky
    Journal of Clinical and Experimental Neuropsychology    23  809-828  (2001Download 
  25. Communities of Interest
    Corinna Cortes, Daryl Pregibon, and Chris Volinsky
      Proceedings of Intelligent Data Analysis 2001    105--114  (2001Download 
  26. Bayesian Information Criterion for Censored Survival Models
    Chris T. Volinsky and Adrian E. Raftery
    Biometrics    56  256-262  (2000Download 
  27. Squashing Flat Files Flatter
    Bill DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, and Daryl Pregibon
      KDD '99: Proceedings of the 5th Int. Conf. on Knowledge Discovery and Data Mining    6-15  (1999Download 
  28. {B}ayesian {M}odel {A}veraging: A Tutorial
    Jennifer A. Hoeting, David Madigan, Adrian Raftery, and Chris T. Volinsky
    Statistical Science    14  382-401  (1999Download 
  29. Bayesian Information Criterion for Censored Survival Models
    Chris T. Volinsky and Adrian E. Raftery
            (1999Download 
  30. {B}ayesian {M}odel {A}veraging for Censored Survival Models
    Chris Volinsky
            (1997Download 
  31. {B}ayesian {M}odel {A}veraging in Proportional Hazard Models: Assessing the Risk of a Stroke
    Chris T. Volinsky, David Madigan, Adrian E. Raftery, and Richard A. Kronmal
    Applied Statistics    46  443-448  (1997Download 
  32. {B}ayesian {M}odel {A}veraging
    David Madigan, Adrian E. Raftery, Chris Volinsky, and Jennifer Hoeting
      Integrating Multiple Learned Models (IMLM96)      (1996Download 
  33. Bayesian Model Averaging and Model Selection for Markov Equivalence Classes of Acyclic Digraphs
    David Madigan, Steen A. Andersson, Michael Perlman, and Chris T. Volinsky
    Communications in Statistics: Theory and Methods    25  2493-2520  (1996Download 
  34. Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance (with discussion)
    Adrian E. Raftery, David Madigan, and Chris T. Volinsky
      {B}ayesian Statistics 5    323--349  (1995Download 
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